/Engine/Plugins/Experimental/LearningAgents/Source/LearningTraining/Public/LearningImitationTrainer.h
struct FImitationTrainerTrainingSettings
uint32
BatchSize
Batch size to use for training.
bool
bUseTensorboard
If to use TensorBoard for logging and tracking the training progress.
ETrainerDevice
Device
Which device to use for training.
uint32
IterationNum
Number of iterations to train the network for.
float
LearningRateActor
Learning rate of the actor network. Typical values are between 0.001f and 0.0001f.
float
LearningRateDecay
Ratio by which to decay the learning rate every 1000 iterations.
uint32
Seed
Random seed to use for training.
float
WeightDecay
Amount of weight decay to apply to the network.